Evaluation of a 3D segmentation software for the coronary characterization in multi-slice computed tomography

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2674, Issue , 2003, Pages 39-51

  Larralde, A ^a   Boldak, C ^b,c   Garreau, M ^b   Toumoulin, C ^b   Boulmier, D ^d   Rolland, Y ^a  

^a SERVICE DE RHUMATOLOGIE   (France)

^b UNIVERSITÉ DE RENNES 1   (France)

^c Unversity of Bialystok   (Poland)

^d RENNES UNIVERSITY HOSPITAL   (France)

Author keywords

3D angiography; 3D vessel detection; Medical evaluation; MSCT; Pathology extraction

Indexed keywords

BIOMINERALIZATION; BONE; COMPUTERIZED TOMOGRAPHY; EXTRACTION; MULTIDETECTOR COMPUTED TOMOGRAPHY; TOMOGRAPHY;

3D ANGIOGRAPHY; 3D SEGMENTATION; CORONARY DISEASE; CORONARY NETWORK; MEDICAL EVALUATION; MSCT; MULTISLICE COMPUTED TOMOGRAPHY; VESSEL DETECTION;

HEART;

EID: 24944555138     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44883-7_5     Document Type: Review

References (18)

1. S. Achenbach, W. Moshage, D. Ropers, J. Nossen, W.G. Daniel, Value of electron-beam computed tomography for the noninvasive detection of high-grade coronary-artery stenoses and occlusions. N. Engl. J. Med., 339 (27), pp. 1964-71, 1998.
2. W.Y. Kim, P.G. Danias, M. Stuber, S.D. Flamm, S. Plein, E. Nagel, and al. Coronary magnetic resonance angiography for the detection of coronary stenoses. N. Engl. J. Med., 345(26), pp. 1863-1869, 2001.
3. T.C. Gerber, R.S. Kuzo, N. Karstaedt, G.E. Lane, R.L. Morin, P.F. Sheedy, R.E. Safford, J.L. Blackshear, J.H. Pietan, Current results and new developments of coronary angiography with use of contrast-enhanced computed tomography of the heart, Mayo Clin. Proc., 77 , pp. 55-71, 2002.
4. A. Blum; Scanner volumique multicoupe: principe, applications et perspectives, ITBM-RBM, vol 23, No4, pp. 189-262, 2002.
5. P.J. Yim, P.L. Choyke, R.M. Summers; Grey-scale skeletonisation of small vessels in magnetic resonance angiography; IEEE Transactions on Medical Imaging, vol. 19, no. 6, pp. 568-576; June 2000.
6. Y. Sato,. S. Nakajima, N. Shiraga, H. Atsumi, S. Yoshida, T. Koller, G. Gerig. R. Kikinis, 3-D multi-scale line filter for segmentation and visualization of curvilinear structures in medical images, Medical Image Analysis, 2, 2, pp. 143-168, 1998.
7. T. McInerney, D. Terzopoulos; Deformable models in medical image analysis: a survey; Medical Image Analysis, vol. 1, no. 2, pp. 91-108, 1996.
8. V. Juhan, B. Nazarian, K. Malkani, R. Bulot, J. M. Bartoli, J. Sequeira; Geometrical modelling of abdominal aortic aneurysms; CVRMed, pp. 243-252, 1997.
9. J.S. Suri, K. Liu, S. Singh, S.N. Laxminarayan, X. Zeng, L. Reden; Shape recovery Algorithms using level sets in 2-D/3-D medical imagery: A state of the art review, IEEE Transactions on Information Technology in Biomedicine, vol. 6, No1, pp. 8-28, March 2002.
10. K.C. Wang, R.W. Dutton, Ch.A Taylor; Improving geometric model construction for blood flow modeling; IEEE Engineering in Medicine and Biology, vol. 18(6), pp. 33-39, 1999.
11. L.M. Lorigo, O. Faugeras, W.E.L. Crimson, R. Keriven, R. Kikinis, C.-F. Westin; Co-dimension 2 geodesic active contours for MRA segmentation; IPMI; pp. 126-139, Lecture Notes in Computer Science, vol. 1613, Springer 1999.
12. th IEEE-EMBS conf., Paris, vol. 5, pp. 2053-2054, October 1992.
13. N. Flasque, M. Desvignes, J-M Constans, M. Revenu; Aquisition, segmentation and tracking of the cerebral vascular tree on 3D magnetic resonance angiography images, Medical Image Analysis, Eds. Elsevier, vol. 5, pp. 173-183, 2001.
14. O. Wink, W.J. Niessen, M.A. Vierger, Fast Delineation and Visualisation of Vessels in 3-D Angiographic Images; IEEE Transactions on Medical Imaging, vol. 19, no. 4, pp. 337-346, April 2000.
15. G. Gerig, Th. Koller, G. Székely, Ch. Brechbühler, O. Kübler; Symbolic description of 3-D structures applied to cerebral vessel tree obtained from MR angiography volume data; Information Processing in Medical Imaging, pp. 94-111, 1993.
16. P. Reuzé, J.L. Coatrieux, L.M. Luo, J.L. Dillenseger, A 3-D moment based approach for blood vessel detection and quantification in MRA; Technology and Health Care, 1, pp. 181-188, 1993.
17. C. Toumoulin, C. Boldak, J-L Dillenseger, J-L Coatrieux, Y. Rolland; Fast detection and characterization of vessels in very large 3-d data sets using geometrical moments, IEEE Transactions on Biomedical Engineering, vol. 48, 5, 604-606, 2001
18. Boldak C., Rolland Y., Toumoulin C.,. Coatrieux J.L: An improved model-based vessel tracking algorithm with application to Computed Tomography Angiography; Journal of Biocybernetics and Biomédical Engineering, vol .3, (1), pp. 41-64, 2003.